SOTAVerified

Electroencephalogram (EEG)

Electroencephalogram (EEG) is a method of recording brain activity using electrophysiological indexes. When the brain is active, a large number of postsynaptic potentials generated synchronously by neurons are formed after summation. It records the changes of electric waves during brain activity and is the overall reflection of the electrophysiological activities of brain nerve cells on the surface of cerebral cortex or scalp. Brain waves originate from the postsynaptic potential of the apical dendrites of pyramidal cells. The formation of synchronous rhythm of EEG is also related to the activity of nonspecific projection system of cortex and thalamus. EEG is the basic theoretical research of brain science. EEG monitoring is widely used in its clinical application.

Papers

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Showing 776–800 of 1655 papers

TitleStatusHype
Using growth transform dynamical systems for spatio-temporal data sonification—0
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction—0
Multiscale Wavelet Transfer Entropy with Application to Corticomuscular Coupling Analysis—0
Random Convolution Kernels with Multi-Scale Decomposition for Preterm EEG Inter-burst DetectionCode0
Towards a Better Understanding Human Reading Comprehension with Brain SignalsCode0
Open and free EEG datasets for epilepsy diagnosisCode0
Single-Channel EEG Based Arousal Level Estimation Using Multitaper Spectrum Estimation at Low-Power Wearable Devices—0
A SPA-based Manifold Learning Framework for Motor Imagery EEG Data Classification—0
On the interpretation of linear Riemannian tangent space model parameters in M/EEGCode0
OpenSync: An opensource platform for synchronizing multiple measures in neuroscience experimentsCode0
EEG multipurpose eye blink detector using convolutional neural network—0
The Portiloop: a deep learning-based open science tool for closed-loop brain stimulationCode0
Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition—0
A Multi-objective Evolutionary Algorithm for EEG Inverse Problem—0
High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm—0
Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis—0
Sleep Staging Based on Multi Scale Dual Attention Network—0
DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder—0
Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation—0
Noise-based cyberattacks generating fake P300 waves in brain–computer interfacesCode0
Sleep syndromes onset detection based on automatic sleep staging algorithmCode0
Complex common spatial patterns on time-frequency decomposed EEG for brain-computer interfaceCode0
Complex network modelling of EEG band coupling in dyslexia: an exploratory analysis of auditory processing and diagnosis—0
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals—0
Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks—0
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All datasetsSEED-IVHS-SSVEPSEED

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy74.35—Unverified
2DGCNNAccuracy69.88—Unverified
3DBNAccuracy66.77—Unverified
#ModelMetricClaimedVerifiedStatus
1MultitaskSSVEPAccuracy (5-fold)92.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DBNAccuracy86.08—Unverified